I am trying to randomly select a set of integers in numpy and am encountering a strange error. If I define a numpy array with two sets of different sizes, np.random.choice chooses between them without issue: However, once the numpy array are sets of the same size, I get a value error: Could be user error, but I’ve checked several
Tag: numpy
Can I use numpy.polyfit(x, y, deg) for multiple linear regression
Is there any way I can fit two independent variables and one dependent variable in numpy.polyfit()? I have a panda data frame that I loaded from a csv file. I wish to include two columns as independent variables to run multiple linear regression using NumPy. Currently my simple linear regression looks like this: model_combined = np.polyfit(data.Exercise, y, 1) I wish
Replacing list comprehensions with pandas and numpy Python
The function below uses slices to get the maximum value between 2 indexes at once. So it gets the maximum value between 0 and 10 and then 10 and 12 and such. The function is derived from the answer to this post post. Is there a way I could could replace the list comprehensions in the form of a pandas
Python: Expand 2D array to multiple 1D arrays
Consider the followoing example from np.meshgrid docs: In my application, instead of x and y, I’ve 25 variables. To create a grid out of the 25 variables, one way would be: However, the code will look ugly and not modular w.r.t. the number of variables (since each variable is hard-coded). Therefore, I am interested in something like the following: However,
Merge numpy arrays with different dimensions
I have a numpy array with shape (100,9,17,2). I need to transform it to (100,15,17,2) adding zeros in missing cells. I created a zeros(100,6,17,2) but I can’t merge them. Can you help me? Answer Use numpy’s concatenate function. The axis argument is the argument over which you want the dimensions to be added.
Find duplicate values in two arrays, Python
I have two arrays (A and B) with about 50 000 values in each. Every value represents an ID. I want to create a pandas dataframe with three columns, col1: values from array A, col2: values from array B, col3: a string with the labels “unique” or “duplicate”. In each array the ID:s are unique. The arrays is of different
Python – TicTacToe
In this question I have to create a TicTacToe game in python which will run in terminal. This is a 2player game and if any player wins by the rules of TicTacToe, Winner = player 1/2 has to be printed. I’m getting a winner statement when I have three 0’s or 1’s diagonally but I’m not getting winner in other
Transpose 3 column excel with K:V into column Pandas
I have a 3 column excel file I’m reading into pandas with basically k:v pairs in columns I need to not only tie the information in unnamed:1 & unnamed:2 to the unique animal ID as this is how I will track the animal but also transpose these columns where everything to the left of the “:” is the column header
insert column into array using scaler obj (numpy.insert)
why C4 did not take column value and insert it before each item in column 1 i think it should be [[ 1 9 6][ 2 99 7][ 3 999 8]] also why the result is equal to not equal to while the insert axis along axis 0 will inserted normally the result: Answer after searching we found the answer
Python add 1d array to 2d array by column
I have a 1d array and 2d array I want: I tried np.vstack, np.concenrate but all failed Answer You can use numpy.column_stack: